Results 21 to 30 of about 44,491 (259)

Reduced Reference Quality Assessment for Image Retargeting by Earth Mover’s Distance

open access: yesApplied Sciences, 2021
A reduced reference quality assessment algorithm for image retargeting by earth mover’s distance is proposed in this paper. In the reference image, all the feature points are extracted using scale invariant feature transform.
Longsheng Wei, Lei Zhao, Jian Peng
doaj   +1 more source

Refining data–data and data–model vegetation comparisons using the Earth mover's distance (EMD) [PDF]

open access: yesClimate of the Past, 2023
Comparing temporal and spatial vegetation changes between reconstructions or between reconstructions and model simulations requires carefully selecting an appropriate evaluation metric.
M. Chevalier   +13 more
doaj   +1 more source

BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2020
Pre-trained language models (e.g., BERT) have achieved significant success in various natural language processing (NLP) tasks. However, high storage and computational costs obstruct pre-trained language models to be effectively deployed on resource ...
Jianquan Li   +5 more
semanticscholar   +1 more source

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Face identification (FI) is ubiquitous and drives many high-stake decisions made by the law enforcement. A common FI approach compares two images by taking the cosine similarity between their image embeddings.
Hai T. Phan, Anh Totti Nguyen
semanticscholar   +1 more source

DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers

open access: yesComputer Vision and Pattern Recognition, 2020
In this paper, we address the few-shot classification task from a new perspective of optimal matching between image regions. We adopt the Earth Mover's Distance (EMD) as a metric to compute a structural distance between dense image representations to ...
Chi Zhang   +3 more
semanticscholar   +1 more source

Earth Mover's Distance as a Metric to Evaluate the Extent of Charge Transfer in Excitations Using Discretized Real-Space Densities. [PDF]

open access: yesJournal of Chemical Theory and Computation, 2023
This paper presents a novel theoretical measure, μEMD, based on the earth mover's distance (EMD), for quantifying the density shift caused by electronic excitations in molecules.
Zhe Wang, Jiashu Liang, M. Head‐Gordon
semanticscholar   +1 more source

H-EMD: A Hierarchical Earth Mover’s Distance Method for Instance Segmentation [PDF]

open access: yesIEEE Transactions on Medical Imaging, 2022
Deep learning (DL) based semantic segmentation methods have achieved excellent performance in biomedical image segmentation, producing high quality probability maps to allow extraction of rich instance information to facilitate good instance segmentation.
Peixian Liang   +7 more
semanticscholar   +1 more source

Earth Mover’s Distance-Based Tool for Rapid Screening of Cervical Cancer Using Cervigrams

open access: yesApplied Sciences, 2022
Cervical cancer is a major public health challenge that can be cured with early diagnosis and timely treatment. This challenge formed the rationale behind our design and development of an intelligent and robust image analysis and diagnostic tool/scale ...
Kumar Dron Shrivastav   +8 more
doaj   +1 more source

Testing Distributions of Huge Objects [PDF]

open access: yesTheoretiCS, 2023
We initiate a study of a new model of property testing that is a hybrid of testing properties of distributions and testing properties of strings. Specifically, the new model refers to testing properties of distributions, but these are distributions over ...
Oded Goldreich, Dana Ron
doaj   +1 more source

Approximate Earth Mover’s Distance in Truly-Subquadratic Time [PDF]

open access: yesSymposium on the Theory of Computing, 2023
We design an additive approximation scheme for estimating the cost of the min-weight bipartite matching problem: given a bipartite graph with non-negative edge costs and ε > 0, our algorithm estimates the cost of matching all but O(ε)-fraction of the ...
Lorenzo Beretta, Aviad Rubinstein
semanticscholar   +1 more source

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